Data Solutions Engineer, ML & Analytics (ADSP)

Apple Inc.; San Diego (CA); On-site; USD 95,000 - 125,000; Full time

Job summary

Apple invites applications for the Applied Data Solutions Program, Software Engineering (Full-Time Opportunities) in Austin, TX. This program rotates you through data science and software roles to build scalable data pipelines, analytics tools, and end-to-end ML solutions that impact Apple and its customers.

Entry-level engineers and data scientists will contribute to fraud mitigation, security, and operational excellence while partnering with ML and software teams to deliver robust, reusable

Qualifications

• Undergraduate or graduate degree in Computer Science, Data Science, Data Analytics, Machine Learning or related field.
• Proficient in at least one programming language (Python/Scala/Java preferred).
• Practical experience deploying machine learning solutions to real-world questions.
• Experience implementing data science applications in Python/Scala/Java.
• Effective communication of complex concepts to business partners.
• Previous Apple FDP or ADSP internship is required.

Responsibilities

• Build data pipelines, tools, and data products for rapid business intelligence and analytics.
• Collaborate with ML and software engineers to design scalable, maintainable systems.
• Translate business problems into technical solutions and define requirements.
• Develop, deploy, and monitor machine learning models for real-time actions.
• Create self-service analytics and reporting to improve data engineering efficiency.

Skills

Python

Scala

Java

Data analysis

Effective communication

ML deployment

Problem solving

Education

Degree in Computer Science / Data Science / Data Analytics / ML

Job description

Apple invites applications for the Applied Data Solutions Program, Software Engineering (Full-Time Opportunities) in Austin, TX. This program rotates you through data science and software roles to build scalable data pipelines, analytics tools, and end-to-end ML solutions that impact Apple and its customers.

Entry-level engineers and data scientists will contribute to fraud mitigation, security, and operational excellence while partnering with ML and software teams to deliver robust, reusable